Monterail
51 - 200 employees
Founded 2011
🤝 B2B
🏢 Enterprise
☁️ SaaS
B2B • Enterprise • SaaS
Monterail is a technology company specializing in designing and developing web and mobile applications. The company focuses on creating software solutions that emphasize user experience and performance, often leveraging modern technologies and frameworks. Monterail works with clients to build custom applications tailored to specific business needs, enhancing productivity and digital transformation efforts. They employ a team of skilled developers who collaborate closely with clients to deliver innovative and practical solutions.
LLM Engineer – Freelancer
🔥 9 minutes ago
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Monterail
51 - 200 employees
Founded 2011
🤝 B2B
🏢 Enterprise
☁️ SaaS
B2B • Enterprise • SaaS
Monterail is a technology company specializing in designing and developing web and mobile applications. The company focuses on creating software solutions that emphasize user experience and performance, often leveraging modern technologies and frameworks. Monterail works with clients to build custom applications tailored to specific business needs, enhancing productivity and digital transformation efforts. They employ a team of skilled developers who collaborate closely with clients to deliver innovative and practical solutions.
📋 Description
• Add AI functionality into existing Python, Node.js, and Ruby codebases • Build LLM-powered features: chat, summaries, classification, smart search, document Q&A • Design lightweight RAG pipelines using embeddings and vector search • Work with vector DBs (pgvector, Pinecone, Qdrant) • Implement safe, reliable LLM endpoints (OpenAI, Anthropic, Azure) • Work directly with clients to shape AI features and reduce manual effort • Advise clients when NOT to use AI and navigate trade-offs around latency, accuracy, and cost
🎯 Requirements
• Strong software engineering background - Python, Node.js, or Ruby • Hands-on experience integrating LLM APIs into production systems (OpenAI, Anthropic, or similar) • Ability to design pragmatic AI solutions within existing architectures • Experience building RAG pipelines, embeddings, and vector search • Understanding of cost, latency, and reliability constraints of AI systems • Ability to work independently with clients and set realistic expectations • Background in big data or data pipelines is a big plus • English B2/C1 • Availability part-time or full-time (B2B contract)
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